

BCforward
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 2–6 years of experience in Alteryx administration, SQL, and healthcare data. The contract lasts 1 month with a pay rate of $65–$69.11/hr, and it is remote within the US.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
552
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🗓️ - Date
July 24, 2026
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #Alteryx #Data Engineering #Alteryx Server #"ETL (Extract #Transform #Load)" #DAX #Scala #Data Migration #Tableau #Python #Automation #SQL (Structured Query Language) #Visualization #Data Modeling #Data Processing #Data Quality #Migration
Role description
Job Title: Data Engineer
Location: Remote within US
Duration: Contract - 1 months and strong possibility of extension
Pay Range: $65/hr - $69.11/hr (W2)
Job Description
We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Alteryx administration, SQL, data pipelines, and healthcare data and a proven ability to design, build, and operate scalable data solutions that ensure quality, reliability, and accessibility.
Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes to support evolving business needs.
• Ensure data quality, reliability, and accessibility across systems and environments.
• Collaborate with cross-functional teams to align data solutions with project and stakeholder requirements.
• Serve as a subject matter expert, provide technical guidance, and support team execution and decision-making.
• Analyze complex data challenges and propose solutions that improve performance and reliability.
• Evaluate and recommend new tools and technologies to enhance data engineering practices.
• Administer Alteryx Server, including schedules and routine maintenance.
Required Skills & Qualifications:
• Alteryx administration and development expertise, including server management (2–6 years).
• Proficiency in SQL for data modeling, transformation, and performance tuning (2–6 years).
• Healthcare data domain knowledge, including payer analytics and data processing (2–6 years).
• Experience with ETL, data migration, and building production-grade data pipelines.
Preferred Skills:
• Tableau for dashboards and data visualization.
• DAX and Python for analytics and automation.
Job Title: Data Engineer
Location: Remote within US
Duration: Contract - 1 months and strong possibility of extension
Pay Range: $65/hr - $69.11/hr (W2)
Job Description
We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Alteryx administration, SQL, data pipelines, and healthcare data and a proven ability to design, build, and operate scalable data solutions that ensure quality, reliability, and accessibility.
Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes to support evolving business needs.
• Ensure data quality, reliability, and accessibility across systems and environments.
• Collaborate with cross-functional teams to align data solutions with project and stakeholder requirements.
• Serve as a subject matter expert, provide technical guidance, and support team execution and decision-making.
• Analyze complex data challenges and propose solutions that improve performance and reliability.
• Evaluate and recommend new tools and technologies to enhance data engineering practices.
• Administer Alteryx Server, including schedules and routine maintenance.
Required Skills & Qualifications:
• Alteryx administration and development expertise, including server management (2–6 years).
• Proficiency in SQL for data modeling, transformation, and performance tuning (2–6 years).
• Healthcare data domain knowledge, including payer analytics and data processing (2–6 years).
• Experience with ETL, data migration, and building production-grade data pipelines.
Preferred Skills:
• Tableau for dashboards and data visualization.
• DAX and Python for analytics and automation.






